A framework of local illumination normalization for face recognition

被引：1

作者：

Feng, Xuetao ^{[1
]}

Wang, Yangsheng ^{[1
]}

Gao, Yong ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China

来源：

2007 INTERNATIONAL WORKSHOP ON ANTI-COUNTERFEITING, SECURITY, AND IDENTIFICATION | 2007年

基金：

中国国家自然科学基金;

关键词：

pattern recognition; face recognition; image process;

D O I：

10.1109/IWASID.2007.373726

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper proposes a framework of illumination normalization algorithm and two new image preprocessing methods according to the framework: Piecewise Gamma Transformation (PGT) and Piecewise Histogram Specification (PHS). They can be used to eliminate the effect of uneven lighting condition effectively and efficiently. The proposed methods have been evaluated based on the Yale face database B and the CMU PIE face database by using PCA and compared with other image preprocessing methods. The experiment results demonstrate that they can significantly improve the recognition performance.

引用

页码：199 / +

页数：3

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